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Transformative Impacts of AI and Wireless Communication in CSP Heliostat Control Systems

Author

Listed:
  • Quanwu Liu

    (CSP Research Centre, Solar Power Generation Technology Research Institute, SEPCO3 Electric Power Construction Co., Ltd., Qingdao 266100, China)

  • Zengli Dai

    (CSP Research Centre, Solar Power Generation Technology Research Institute, SEPCO3 Electric Power Construction Co., Ltd., Qingdao 266100, China)

  • Yuan Wei

    (CSP Research Centre, Solar Power Generation Technology Research Institute, SEPCO3 Electric Power Construction Co., Ltd., Qingdao 266100, China)

  • Dongxiang Wang

    (CSP Research Centre, Solar Power Generation Technology Research Institute, SEPCO3 Electric Power Construction Co., Ltd., Qingdao 266100, China)

  • Yu Xie

    (CSP Research Centre, Solar Power Generation Technology Research Institute, SEPCO3 Electric Power Construction Co., Ltd., Qingdao 266100, China)

Abstract

In this review, the transformative impact of integrating artificial intelligence (AI) and wireless communication technologies into the heliostat control systems of concentrated solar power (CSP) plants are explored. Heliostat control systems are categorized based on wired and wireless implementations, and calibration methods are analyzed from traditional methods, auxiliary equipment, and AI in detail. The applications of artificial intelligence, machine learning, and deep learning techniques enhance the accuracy, control ability, and prediction performance of CSP heliostat control systems. At the same time, wireless communications play an important role in reducing costs, enhancing scalability, and enabling more flexible deployment. The synergistic impact of AI and wireless technologies improves the efficiency, reliability, and economic viability of heliostat systems, and shows great potential in global energy transition.

Suggested Citation

  • Quanwu Liu & Zengli Dai & Yuan Wei & Dongxiang Wang & Yu Xie, 2025. "Transformative Impacts of AI and Wireless Communication in CSP Heliostat Control Systems," Energies, MDPI, vol. 18(5), pages 1-35, February.
    • Handle: RePEc:gam:jeners:v:18:y:2025:i:5:p:1069-:d:1597307
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